Agent skill

Digest

by aeonfun in aeonfun/aeon

Generate and send a digest on a configurable topic, optionally pulling RSS/Atom feeds as an input source alongside web + X signal

MITAuto-check passed

Install Digest

skills CLI
$ npx skills add aeonfun/aeon --skill digest -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install aeonfun/aeon digest --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/aeonfun/aeon.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/digest .claude/skills/digest && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
digest
GitHub stars
767
Token cost
~3.9k tokens
SKILL.md length
1,879 words
Files
1
Skills in repo
82
Repo updated
First seen
Licence
MIT

At a glance

Generate and send a digest on a configurable topic, optionally pulling RSS/Atom feeds as an input source alongside web + X signal

  • Works in 5 steps: Gather (cast a wide net) → Filter (kill the noise) → Distill and structure (force the shape) → …
  • SKILL.md covers Preamble — orient and parse…, Config (RSS source), Phase 1 — Gather (cast a wide… and Phase 2 — Filter (kill the…, plus 6 more sections
  • Calls jq and curl; reaches x.com and api.x.ai; needs XAI_API_KEY

What it does

Digest is an agent skill from aeonfun/aeon. Generate and send a digest on a configurable topic, optionally pulling RSS/Atom feeds as an input source alongside web + X signal

Its SKILL.md is about 3.9k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

The repository describes itself as: The most autonomous AI agent framework: runs unattended on GitHub Actions, self-healing skills, drives Claude Code, Grok, Codex & more. No approval loops. Configure once, forget… The licence is MIT.

Example prompts

  • “/digest”

Requirements

  • A credential in XAI_API_KEY

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Gather (cast a wide net)
  2. Filter (kill the noise)
  3. Distill and structure (force the shape)
  4. Sanity-check (last pass before sending)
  5. Send and log

What it can do on your machine

Read from SKILL.md and the folder at commit f252074. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • jq
    • curl

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • x.com
    • api.x.ai
    • news.ycombinator.com
    • reddit.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • XAI_API_KEY

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Digest loads about 3.9k tokens when it runs. Until then it costs about 34 tokens; SKILL.md has 1,879 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~34
When it runs · the whole SKILL.md, loaded when a task matches
~3.9k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from aeonfun/aeon at commit f252074, republished under its MIT licence (© aeonfun). 1,879 words, ~3,853 tokens.

Download SKILL.mdSave it as .claude/skills/digest/SKILL.md (or your agent's skills folder).
name
digest
description
Generate and send a digest on a configurable topic, optionally pulling RSS/Atom feeds as an input source alongside web + X signal
metadata.title
Digest
metadata.mode
write
metadata.category
basics
metadata.tags
content, news
metadata.requires
XAI_API_KEY?
<!-- autoresearch: variation B — curatorial discipline (filter → distill → structure → sanity-check) folded with direct-curl xAI + web/RSS inputs and memory-aware dedup; RSS feed-reading + item-selection absorbed from rss-digest as an additional source class -->

${var} — Selects the digest's topic and which source classes feed it. Grammar:

  • "" (empty) → digest's default sources (WebSearch + xAI/Grok + aggregators), no topic filter — a broad daily digest.
  • "<topic>" → topic-focused digest on the default web sources, filtered to <topic> (e.g. "solana", "AI agents", "rust").
  • "rss" → RSS-only: pull feeds from memory/feeds.yml, no topic filter.
  • "rss: <topic>" → RSS-only, filtered to <topic> (e.g. "rss: rust").
  • "<topic> +rss" → default web sources and RSS feeds combined, both filtered to <topic> (e.g. "AI agents +rss").

Today is ${today}. Generate and send a daily ${var} digest.

The whole point of a digest is signal, not volume. A reader skimming for 60 seconds should walk away with three things they didn't know that morning and one of them should change a decision they'd make this week. Anything that doesn't clear that bar gets cut.

Preamble — orient and parse the selector

  1. Read memory/MEMORY.md for high-level context and tracked topics, and scan the last 3 days of memory/logs/ so you can dedup against anything already reported.
  2. Parse ${var} into {topic, sources}:
    • Strip a trailing +rss → adds RSS to the default web sources. Remainder is the topic.
    • A leading rss: (or the bare token rss) → RSS-only source set; text after the colon is the topic (empty = no filter).
    • Otherwise the whole string is the topic and sources = default web (empty string = default web, no topic filter).
    • Resulting sources is one of: web (default), rss (RSS-only), or web+rss (both).
  3. The topic, when non-empty, is a filter applied to every source class — web queries are scoped to it and RSS items must match it (title/description/tags). Empty topic = keep all relevant items.

Config (RSS source)

When sources includes rss, this skill reads feed URLs from memory/feeds.yml. If the file doesn't exist yet, create it (write mode) with the shape below, or — if you have nothing to seed it with — log a one-line note and treat the RSS source as empty for this run.

yaml
# memory/feeds.yml
feeds:
  - name: Example Feed
    url: https://example.com/rss
  - name: Another Feed
    url: https://example.com/atom.xml

Phase 1 — Gather (cast a wide net)

Pull from the source classes selected by ${var}. Never rely on a single one — if sources = web, use at least two of the web classes below; if sources = web+rss, RSS counts as one class and you still want a second.

Web sources (active when sources is web or web+rss)
  1. WebSearch (built-in) — run 2 distinct queries:

    • "${topic}" news ${today} (broad). If topic is empty, run a general query for the day's notable stories in the operator's tracked areas (from memory/MEMORY.md).
    • One narrower query you choose based on ${topic} (e.g. for "solana" → "solana" launches OR funding OR exploit ${today}; for "AI agents" → "agent framework" OR "agentic" release ${today}).
  2. xAI x_search via Grok — pulls the X/Twitter signal layer. XAI_API_KEY is injected into this skill's environment (declared in requires:) and is the primary path; see Fetching the X signal below for the full contract (attempt the curl before any fallback, set the Bash tool timeout ≥180000, record the true failure reason).

    Path A — X.AI API (primary): a direct curl to the Responses API. First confirm the key with [ -n "${XAI_API_KEY:+x}" ] && echo KEY_PRESENT || echo KEY_UNSET (a bare $XAI_API_KEY is a secret expansion the Bash permission layer refuses); if KEY_PRESENT (it will be), this path is required. When you run the curl, set the Bash tool's timeout to at least 180000.

    bash
    FROM_DATE=$(date -u -d "yesterday" +%Y-%m-%d 2>/dev/null || date -u -v-1d +%Y-%m-%d)
    TO_DATE=$(date -u +%Y-%m-%d)
    PROMPT="Search X for substantive, recent posts about: ${topic:-the most notable technology, AI, and crypto stories today}. Date range: $FROM_DATE to $TO_DATE. Return up to 10 high-signal posts — prioritize verifiable claims, launches, funding, releases, exploits, or hard data over hot takes. For EACH post return: @handle, the full text, date posted, exact engagement counts (likes, retweets, replies; 0 if unknown), and the direct link https://x.com/handle/status/ID. Return a numbered list."
    jq -n --arg p "$PROMPT" --arg fd "$FROM_DATE" --arg td "$TO_DATE" \
      '{model:"grok-4.7", input:[{role:"user",content:$p}], tools:[{type:"x_search",from_date:$fd,to_date:$td}]}' \
      > /tmp/xai-digest-payload.json
    HTTP=$(./secretcurl -s -o /tmp/xai-digest.json -w '%{http_code}' --max-time 150 -X POST "https://api.x.ai/v1/responses" \
      -H "Content-Type: application/json" -H "Authorization: Bearer {XAI_API_KEY}" -d @/tmp/xai-digest-payload.json)
    echo "xai http=$HTTP bytes=$(wc -c </tmp/xai-digest.json)"

    On HTTP=200 with a non-empty body, parse it with jq -r '.output[] | select(.type == "message") | .content[] | select(.type == "output_text") | .text' and feed each post (handle, text, engagement, permalink) into the web-candidate pool. A slow curl is not a missing key — do not treat a timeout as key-unavailable.

    Path B — WebFetch/WebSearch fallback (last resort, lower quality): only if the key is KEY_UNSET, or Path A returned a non-2xx / empty body / timeout. Attempt a WebFetch to a public X search URL like https://x.com/search?q=${topic}&f=live, or a site:x.com "<topic>" after:${FROM_DATE} WebSearch; extract a few top posts and prefer results within the last 48h. Record the true reason (key-unset | http-<code> | empty | timeout) in the log — never "XAI_API_KEY unavailable" when the key was set. If this also returns nothing, skip the X source for this run.

  3. WebFetch on a topic-relevant aggregator (only if WebSearch returned thin results): e.g. https://news.ycombinator.com/, https://www.reddit.com/r/<topic>/top/?t=day.json, or a known feed for the topic.

Aim for ~15 raw web candidates at this stage. More is fine; fewer than 8 is a warning sign — broaden your queries before moving on.

RSS source (active when sources is rss or web+rss)

Read memory/feeds.yml for the feed list. For each feed in feeds.yml:

  1. Fetch the RSS/Atom XML: curl -sL "FEED_URL". If curl fails, fall back to WebFetch on the same URL.
  2. Parse for entries published in the last 24h (check <pubDate> or <updated> tags).
  3. Extract title, link, and description for each new entry.

Deduplicate against recent logs (see Phase 2). From all new entries, select the 5–7 most interesting items — prioritize topics tracked in memory/MEMORY.md, and apply the ${topic} filter when set (title/description/tags must match). For each selected item, if the summary is too thin, use WebFetch to pull the full article, then write a 1–2 sentence note on why it matters. These become RSS candidates entering the shared pipeline below.

If sources = rss and there are no new items across all feeds, log RSS_DIGEST_OK in the run log and end without notifying.

Phase 2 — Filter (kill the noise)

Pool every candidate (web + RSS) and drop any that fails a single check:

  • No source link? Drop it. Every surviving item must have a clickable URL (article URL, feed entry link, or https://x.com/handle/status/ID).
  • Older than 36 hours? Drop it unless it's a still-developing story being re-surfaced for a new reason. (RSS entries are already scoped to the last 24h; this catches stale web results.)
  • Pure speculation, hot take, or "X reacts to Y"? Drop it. Keep things with a verifiable claim, named entity, number, release, or transaction.
  • Already covered in the last 3 daily logs? Check memory/logs/ for entries from the last 3 days. If the same story (same headline subject, same primary actor) appears, drop the duplicate unless there's a material new development to report.
  • Two sources telling the same story? Keep one — prefer the primary source (announcement post, repo release, official filing) over the recap. A web hit and an RSS entry on the same event count as duplicates; keep the primary.

Target: ~5–8 survivors after this pass.

Show full SKILL.md (883 more words)Show less

Phase 3 — Distill and structure (force the shape)

Pick the 3–5 strongest items. Lead with the single most actionable one — the item where a reader can do something today (subscribe, sell, fork, attend, apply, watch). Then descend by importance.

Format the digest exactly like this (unified format — used for web, rss, and web+rss runs):

*${var} — ${today}*

_TL;DR: <one sentence covering the day's gravity. Concrete, no adjectives.>_

1. *<Headline-style title, ≤90 chars>*
   <1–2 sentence summary. Lead with what happened, not who said it.>
   Why it matters: <one short clause — concrete consequence, not vibes>
   <link>

2. *<Title>*
   ...

3. *<Title>*
   ...

(Optional, only if there's genuine secondary signal:)
*Also worth a glance:* <1-line bullet> · <1-line bullet>

Format rules:

  • Markdown only. No emoji. No "Here's your digest" preamble.
  • Total length: ≤3000 chars (the old 4000 was too loose — discipline forces cuts).
  • Every item: title + summary + link. Include a "Why it matters" line whenever you can state a concrete consequence (price impact, user-facing change, upstream dependency, deadline, precedent). If you can't write one without hand-waving, omit the line — do not replace it with filler like "this could be significant" or "watch this space".
  • On thin-news days where fewer than 3 items clear the bar: log DIGEST_FETCH_EMPTY (or DIGEST_THIN if 1–2 items survived) in the run log and skip the notification rather than padding.

Alternate RSS layout (RSS-only runs): when sources = rss, you may instead group items by feed name if that reads better than a single ranked list — this preserves the original RSS-digest presentation:

*RSS Digest — ${today}*

*Feed Name*
- [Title](url) — summary
- [Title](url) — summary

*Feed Name*
- [Title](url) — summary

The grouped RSS layout stays ≤4000 chars. Prefer the unified ranked format when the run mixes sources (web+rss) so the reader gets one prioritized list.

Phase 4 — Sanity-check (last pass before sending)

Before calling ./notify, walk this checklist mentally:

  • Lead item is the most actionable one I have, not just the most dramatic.
  • Every link resolves to a real URL (no [link] placeholders, no truncated IDs).
  • No item is paraphrasing a hot take — each has a verifiable underlying fact.
  • No two items are the same story under different angles (including a web hit + an RSS entry on the same event).
  • Char count under the limit for the chosen format (3000 unified / 4000 grouped RSS).
  • No emoji slipped in. No corporate hedging ("could potentially", "it remains to be seen").

If the digest fails any check, fix it before sending. If after filtering you have fewer than 3 strong items, do not pad — send a shorter "thin day" digest with whatever survived and a one-line note acknowledging it was a quiet news day. Do not invent or stretch.

Phase 5 — Send and log

  1. Write the digest body to a file (e.g. /tmp/digest.md) and send it with ./notify -f /tmp/digest.md (a long multi-line argv trips the sandbox; -f keeps it short).
  2. Append to memory/logs/${today}.md under one ### digest heading:
    ### digest (${var})
    - Source mode: <web | rss | web+rss>
    - Sources used: <list — e.g. WebSearch, xAI API (api|fallback:reason), feeds.yml (Feed A, Feed B)>
    - Raw candidates: <N> (web <Nw> / rss <Nr>), after filter: <M>, sent: <K>
    - Lead item: <title>
    - Notes: <anything unusual — xAI fetch fallback + true reason (http-<code>/empty/timeout/key-unset), thin day (DIGEST_THIN/DIGEST_FETCH_EMPTY), RSS_DIGEST_OK, dedup against prior log>
  3. Update memory/MEMORY.md "Recent Digests" table with one row: date, topic (or ${var}), key topics (3 short keywords).

Fetching the X signal

XAI_API_KEY is injected into this skill's environment (declared in requires:) and is present and valid. The primary way to pull the X/Twitter signal layer is a direct curl to https://api.x.ai/v1/responses with Authorization: Bearer {XAI_API_KEY} (see Phase 1 → Path A). There is no network sandbox blocking this — just make the call.

Rules:

  1. Check, don't assume. Run [ -n "${XAI_API_KEY:+x}" ] && echo KEY_PRESENT || echo KEY_UNSET. If KEY_PRESENT (it will be), Path A is required before any fallback.
  2. Allow enough time. Grok's x_search typically takes 30–120s (it searches X live). Set the Bash tool's timeout to at least 180000 (180s) for the curl, and keep --max-time 150 on the curl itself so it fails cleanly rather than hanging. A slow curl is not a missing key — never treat a timeout as key-unavailable.
  3. Capture the HTTP status and parse the body with the standard jq extractor (jq -r '.output[] | select(.type == "message") | .content[] | select(.type == "output_text") | .text'). HTTP=200 + non-empty body → use it.
  4. Fall back only on a real failure, recording the true reason: key-unset (only if step 1 said KEY_UNSET), http-<code> (non-2xx), empty (200 but nothing parsed), or timeout (curl exceeded --max-time). Never log "XAI_API_KEY unavailable" when the key was set.

WebFetch / WebSearch are last-resort fallbacks only for the X signal (lower quality — WebSearch favours older high-engagement posts). Never reach for them while the key works.

RSS feeds & public aggregators (no auth): fetch with curl -sL; if that fails intermittently, the built-in WebFetch tool is a reliable fallback for any feed URL, aggregator (HN, Reddit JSON, news sites), or article. This is a convenience fallback for unauthenticated URLs, not a sandbox workaround. A digest built from WebSearch + reachable RSS alone is still valid — note it in the log so health checks can spot the pattern.

Environment Variables Required

  • XAI_API_KEY — X.AI API key for Grok's x_search. Declared in requires:, so it is injected into this skill's environment and is the primary path for the X signal layer (direct curl; see Fetching the X signal). Optional overall — digest still works on web + RSS sources alone if it is ever unset.
  • Notification channels configured via repo secrets (see CLAUDE.md).

Constraints

  • Never send a digest with placeholder links or "TBD" sections.
  • Never invent items to hit a target count. Fewer good items beats more weak ones.
  • Never repeat a story already in the last 3 days of memory/logs/ unless there's a material update — and say so explicitly when you do.

© aeonfun, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/digest of aeonfun/aeon.

Open the folder on GitHubat commit f252074

Compare with similar skills

Digest next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Digest compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Digest this skillaeonfun/aeon767—~3.9kAutomated safety check: PassMIT
Rss Digestmohitagw15856/pm-claude-skills1.4k—~1.1kAutomated safety check: PassMIT
Optionsasgeirtj/system_prompts_leaks69k—~918Automated safety check: PassCC0-1.0
Rss Digestamd/gaia1.6k—~787Automated safety check: PassMIT
Aeon Rss DigestBankrBot/skills1.2k—~533Automated safety check: PassNone
Pull Requestspnpm/pnpm37k—~2.2kAutomated safety check: PassMIT

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Questions about Digest

What does Digest do?

Generate and send a digest on a configurable topic, optionally pulling RSS/Atom feeds as an input source alongside web + X signal. Digest is an agent skill from aeonfun/aeon.

How do I install Digest in Claude Code?

Run `npx skills add aeonfun/aeon --skill digest -a claude-code`. Or copy the skill folder (skills/digest in aeonfun/aeon) into .claude/skills/digest in your project. Claude Code loads it when a task matches its description.

How do I install Digest in Codex?

Run `npx skills add aeonfun/aeon --skill digest -a codex`. Or copy the skill folder (skills/digest in aeonfun/aeon) into .agents/skills/digest in your project. Codex loads it when a task matches its description.

Can I use Digest in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add aeonfun/aeon --skill digest -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/digest, .gemini/skills/digest, .github/skills/digest and .opencode/skills/digest in your project.

What does Digest need to run?

Going by SKILL.md and its folder, Digest needs the command-line tools its instructions call (jq and curl) and credentials named XAI_API_KEY. Our summary lists: A credential in XAI_API_KEY.

Does Digest access the network?

SKILL.md names 4 domains. In commands or code: x.com, api.x.ai, news.ycombinator.com and reddit.com; the agent is likely to contact these when it follows the instructions. This is read from the text; nothing was executed.

Is Digest safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Digest use?

Digest is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Digest use?

About 3.9k tokens (SKILL.md is roughly 15k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Digest?

Skills that share tags, products or a category with Digest: Rss Digest (mohitagw15856/pm-claude-skills, 1.4k stars), Options (asgeirtj/system_prompts_leaks, 69k stars), Rss Digest (amd/gaia, 1.6k stars) and Aeon Rss Digest (BankrBot/skills, 1.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Digest?

aeonfun (a GitHub organization) maintains it in aeonfun/aeon, which has 767 GitHub stars. The repository holds 82 skills in this directory. The repository was last updated on October 6, 2026.

Source: aeonfun/aeon on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.